Sparse regularization methods in ultrafast ultrasound imaging - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

Sparse regularization methods in ultrafast ultrasound imaging

Résumé

Ultrafast ultrasound imaging- Principle- Spatial-based approaches- Fourier-based approachesSparse regularization for ultrasound imaging- General framework- The measurement model- Sparsifying model and reconstruction algorithmApplications of the proposed approach- Sparse regularization for image quality enhancement- Compressed beamforming
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Dates et versions

hal-01433212 , version 1 (12-01-2017)

Identifiants

  • HAL Id : hal-01433212 , version 1

Citer

Adrien Besson, Rafael Carrillo, Miaomiao Zhang, Denis Friboulet, Olivier Bernard, et al.. Sparse regularization methods in ultrafast ultrasound imaging. European Signal Processing Conference (Eusipco), Aug 2016, Budapest, Hungary. ⟨hal-01433212⟩
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